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Location: United Kingdom; Brazil; Ireland; Peru; Costa Rica; Latvia; Argentina; Romania; Cyprus; Portugal; Slovenia; Lithuania; South Africa; Czech Republic; Panama; Estonia; Canada; Hungary; Mexico; Poland; Spain; Bulgaria Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. Kraken is building a dedicated AI Compute and Infrastructure team to power the next generation of model training, inference, evaluation, and experimentation across the exchange. This team sits within engineering leadership and owns the infrastructure layer that lets Kraken run AI workloads with control, speed, reliability, and cost discipline. The team is responsible for GPU and accelerator infrastructure, cluster operations, scheduling, model serving, observability, capacity planning, and cost-efficient compute at scale. This is the backbone that allows Kraken to train, serve, evaluate, and iterate on AI systems in-house where it matters for privacy, latency, reliability, cost, or product differentiation. You will join a small, senior, high-impact team working directly with AI/ML researchers, platform engineers, security teams, and product teams. The mandate is simple: make Kraken's AI ambitions real by building compute infrastructure that is fast, dependable, efficient, and production-grade.   THE OPPORTUNITY - Own and operate GPU and accelerator clusters used for training, inference, evaluation, and experimentation, including drivers, runtimes, kernels, device plugins, node configuration, scheduling primitives, and workload isolation. - Design infrastructure that enables Kraken teams to run models locally on GPUs where it is strategically and economically preferable, reducing unnecessary dependency on external providers and containing compute costs. - Build and improve scheduling, orchestration, placement, quota management, and utilization systems across heterogeneous accelerator environments. - Optimize inference pipelines for latency, throughput, reliability, memory efficiency, and cost using frameworks such as vLLM, Triton Inference Server, TensorRT, or equivalent serving stacks. - Partner with ML engineers and researchers to remove bottlenecks in training, evaluation, batch inference, online inference, deployment, and production debugging workflows. - Build observability for GPU utilization, memory pressure, queue depth, saturation, token throughput, request latency, failed workloads, capacity pressure, and spend. - Drive reliability, incident response, alerting, runbooks, and post-incident improvements for always-on AI compute infrastructure. - Evaluate and integrate new hardware, cloud instance families, specialized accelerators, runtimes, schedulers, and serving frameworks as the AI infrastructure landscape evolves. - Build tooling that makes GPU usage visible, accountable, and easier for internal teams to consume without needing to become infrastructure experts. - Contribute to long-term architecture decisions that balance performance, cost efficiency, scalability, operational simplicity, and production safety.   WHAT YOU BRING - 5+ years of infrastructure engineering experience, with significant time spent on GPU compute, ML infrastructure, distributed systems, high-performance computing, or large-scale production platforms. - Hands-on experience operating GPU clusters or accelerator-backed infrastructure in production or production-like environments, including scheduling, orchestration, utilization monitoring, and cost optimization. - Strong systems engineering fundamentals across Linux, networking, storage, containers, Kubernetes, distributed runtimes, and production debugging. - Experience with ML serving frameworks such as vLLM, Triton Inference Server, TensorRT, TorchServe, KServe, Ray Serve, or equivalent systems. - Proficiency in Python for infrastructure automation, tooling, debugging, integration, and operational workflows. - Practical understanding of performance tradeoffs across batching, concurrency, memory usage, GPU utilization, model size, latency, throughput, availability, and cost. - Track record of optimizing compute costs while maintaining clear performance, reliability, and availability expectations. - Experience building observable systems with useful metrics, logs, traces, dashboards, alerts, and incident workflows. - Comfortable working in high-stakes, always-on environments where uptime, throughput, correctness, and operational discipline are critical. - Clear communicator who can translate infrastructure tradeoffs for researchers, product teams, platform engineers, security stakeholders, and engineering leadership.   NICE TO HAVES - Experience at a frontier AI lab, hyperscaler, high-frequency trading firm, research platform, or high-scale ML organization. - Familiarity with custom silicon or specialized accelerators such as TPUs, AWS Trainium, Gaudi, or similar platforms. - Background in capacity planning, procurement input, reserved capacity strategy, cloud accelerator economics, or GPU fleet cost management. - Experience with distributed training frameworks such as DeepSpeed, Megatron-LM, FSDP, Ray, or equivalent systems. - Experience debugging CUDA, NCCL, kernel, driver, runtime, memory, networking, or low-level performance issues. - Experience with Rust, C++, Go, CUDA, or other systems languages used for performance-critical infrastructure. - Crypto, financial services, trading infrastructure, or security-sensitive production infrastructure experience. Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on Twitter https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand. Node Infra owns the full lifecycle of accelerator capacity at Anthropic. We ingest and provision compute from all major cloud providers and from datacenters custom-built for Anthropic, stand up and scale the clusters behind one of the industry's largest AI compute fleets, and build the health, diagnostics and repair automation that keep every GPU, TPU and Trainium node in the fleet usable and ready to power Anthropic's frontier AI research. Key responsibilities Own the technical strategy and roadmap for node lifecycle management - ingestion, bring-up, health checking, and automated repair Drive cross-team initiatives to build and scale AI clusters across multiple clouds and accelerator families Design and operate the systems that detect, isolate, and remediate unhealthy hardware automatically, driving up fleet MTBI and minimizing stranded capacity Define infrastructure architecture, ensuring the hardest problems get solved - whether by you directly or by working through others Work closely with cloud providers and internal research/inference/product teams to shape long-term compute, data, and infrastructure strategy Establish and evolve operational excellence practices (incident response, postmortem culture, on-call) Support the growth of engineers around you through technical mentorship and coaching Minimum qualifications Deep expertise in distributed systems, reliability, and cloud platforms (e.g., Kubernetes, IaC, AWS/GCP/Azure) Strong proficiency in at least one systems language (e.g., Rust, Go, or Python), IaC proficiency with Terraform. Hands-on experience with machine learning accelerators (GPUs, TPUs, or Trainium) Track record of leading complex, multi-quarter technical initiatives that span multiple teams or systems Ability to build alignment across senior stakeholders and communicate effectively at all levels Preferred qualifications 7+ years of software engineering experience, including time as a technical lead setting direction for a team Experience managing large scale compute infrastructure at hyperscale (10K+ nodes), including capacity management and efficiency Depth in one or more of: Kubernetes internals (scheduler, autoscaler, kubelet, Karpenter), cluster orchestration systems (Mesos, Borg-like), or node provisioning pipelines Low-level systems experience: kernel, virtualization, device drivers, firmware, or hardware health/diagnostics daemons Familiarity with high-performance networking (EFA, RDMA, InfiniBand) for distributed ML workloads. Demonstrated ownership of production reliability for high-throughput, latency-sensitive systems Contributions to relevant open-source projects (Kubernetes, Linux kernel, container runtimes, etc.) Skill in quickly understanding systems design tradeoffs and keeping track of rapidly evolving software systems The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £325,000 — £485,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We run one of the industry's largest AI compute fleets, spanning multiple cloud providers and datacenters, to train, research, and serve frontier AI models. Those fleets run on Kubernetes, and the Kubernetes Platform team owns the control plane that makes them work. We are operating at a scale where the defaults stop working. We own the scheduler and extend it to place topology-sensitive ML workloads across thousands of accelerators at once. We scale the control plane itself — apiserver, etcd, controllers — so it stays responsive as object counts and node counts grow by orders of magnitude. And we build the core cluster services every workload depends on, like service discovery, so they hold up under the same pressure. We make sure the control plane is fast, correct, and always available. Your work will directly determine whether Anthropic can keep reliably and safely training frontier models as our compute footprint continues to grow. Key responsibilities Own, operate, and extend the Kubernetes scheduler for Anthropic's accelerator fleets, including custom scheduling plugins and policies for gang scheduling, topology awareness, and preemption Scale the Kubernetes control plane (apiserver, etcd, controller-manager) to support clusters far beyond typical limits, and find the next bottleneck before it finds us Design, build, and operate core cluster services such as service discovery that every workload in the fleet depends on Build and maintain custom controllers, operators, and CRDs Partner with research, training, and inference to understand workload shapes and turn their requirements into platform capabilities Collaborate with cloud providers on required features and escalations Participate in on-call, lead incident response, and design processes (postmortems, runbooks, SLOs) that help the team avoid repeating failures Minimum qualifications Significant software engineering experience building and operating production distributed systems Proficiency in at least one systems-appropriate language (e.g., Go, Python, Rust, or C++) Deep, hands-on Kubernetes experience (well beyond "user of”) into scheduler, controllers, apiserver, or operating large multi-tenant clusters Demonstrated ability to debug complex issues across the stack, from API behavior down to node and network-level root causes A track record of designing for reliability, correctness, and clear failure semantics in systems other engineers depend on Strong written and verbal communication; comfort building consensus with internal stakeholders Preferred qualifications Experience with Kubernetes internals or contributions: kube-scheduler / scheduling framework, apiserver, etcd, client-go, controller-runtime, or similar Experience building or operating cluster schedulers or batch systems (e.g., Kueue, Volcano, Slurm, or in-house equivalents) Background scaling control planes or coordination systems (etcd, ZooKeeper, Consul, or large DNS/service-mesh deployments) Familiarity with ML infrastructure: GPUs, TPUs, or Trainium; gang scheduling; topology-aware placement; collective networking such as NCCL Experience with GCP and/or AWS, including GKE/EKS internals and Infrastructure as Code Low-level systems experience such as Linux kernel tuning, cgroups, or eBPF 12+ years of relevant industry experience, including time leading large, ambiguous infrastructure projects The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £325,000 — £485,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand. Cluster Infra owns the full lifecycle of compute clusters at Anthropic. We build agent-driven automation for cluster provisioning and lifecycle management across all major cloud providers and our own datacenters. Our systems stand up clusters that are interconnected with high bandwidth, secure-by-default, and able to automatically drain and recover in response to failure. As a Staff engineer on this team, you'll set the technical direction for how Anthropic brings compute online - at a moment when the scale of that compute is growing faster than at almost any company in the world. Key responsibilities Own the technical strategy and roadmap for agent-driven cluster lifecycle management - provisioning, updates and decommissioning Partner across teams to ensure new compute capacity is ingested on time Align with partner teams on physical build-out and leverage cloud solutions to deliver high-bandwidth inter-cluster connectivity Collaborate with security owners to ensure clusters are provisioned secure-by-default Define and drive strategy on cluster scalability, homogeneity and fault tolerance Work closely with cloud providers and internal research, inference and product teams to shape long-term compute, data, and infrastructure strategy Establish and evolve operational-excellence practices: incident response, postmortem culture and on-call health Support the growth of engineers around you through technical mentorship and coaching Minimum qualifications Deep expertise in distributed systems, reliability, and cloud platforms (e.g., Kubernetes, IaC, AWS/GCP/Azure) Strong proficiency in at least one systems language (e.g., Rust, Go, or Python), IaC proficiency with Terraform. Track record of leading complex, multi-quarter technical initiatives spanning multiple teams or systems Ability to build alignment across senior stakeholders and communicate effectively at all levels Preferred qualifications 10+ years of software engineering experience, including time as a technical lead setting direction for a team Experience operating large-scale compute infrastructure at hyperscale (100+ clusters, 10K+ nodes) Depth in one or more of: Kubernetes internals, cluster provisioning and management systems, cluster orchestration systems (Mesos, Borg-like) Experience with cloud networking: VPC design and peering, Shared VPC/Transit Gateway, Cloud Interconnect/Direct Connect, Cloud NAT, cross-cloud private connectivity, BGP and route control, edge load balancing and DDoS mitigation (Cloud Armor / AWS Shield) Experience with cluster and host networking: CNI (Cilium), eBPF, NetworkPolicy, multi-NIC, sFlow, service mesh (Istio/Envoy/Linkerd, mTLS) Experience with cluster security: pod security standards and admission control, RBAC and least-privilege IAM, node and container hardening, supply-chain/image provenance Deep experience with infrastructure-as-code (Terraform, Atlantis), workflow orchestration (Temporal, Argo Workflows) Skill in quickly understanding systems design tradeoffs and keeping track of rapidly evolving software systems The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £325,000 — £485,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Limassol; Nicosia Workplace: hybrid The Role:  We are seeking a motivated and curious Junior Corporate Services Systems Engineer to join our Systems Engineering team. In this role, you will play a key part in the day-to-day maintenance, administration, and support of our cloud systems and services.  This is an excellent opportunity for someone eager to kickstart their career in IT operations, gain hands-on experience with modern cloud infrastructure, and learn from experienced engineers in a collaborative environment. The main responsibilities of the position include: Manage and administer multi-cloud subscriptions (PaaS/SaaS) across Microsoft Azure and other providers, overseeing implementation, capacity planning, and performance monitoring. Resolve complex technical issues by providing Level 2 and Level 3 troubleshooting, incident management, and service-level tracking. Oversee the Microsoft Entra ID (Azure AD) environment , including Conditional Access, identity protection, group management, and Single Sign-On (SSO) integrations. Manage Microsoft 365 Enterprise products (SharePoint, Teams, compliance tools) and administer Intune MDM for Windows, Mac, iOS, and Android endpoints. Enforce role-based access controls (RBAC) by maintaining the Enterprise Access Control Matrix. Partner with Information Security to research and deploy system hardening solutions, conduct routine security audits, and identify vulnerabilities. Deploy automated patch management solutions for Microsoft and third-party software, including executing emergency patching procedures. Liaise with external partners and cross-functional teams to design, deliver, and document new IT solutions that support business growth. Mentor and train the IT Service Desk team , creating detailed documentation and work instructions to elevate overall support quality. Main requirements: BSc/MSc in Information Technology or any other relevant degree At least 2 years of ex perience in a Systems Administration or relevant position Strong team player, good communications skills Strong analytical and troubleshooting skills Ability to cope with stress and meet deadlines Ability to multitask and prioritise Problem solving and critical thinking skills Self-motivated, proactive and efficient Deep understanding of the following: Security Hardening & Patch Management Cloud Systems Management: Azure Mobile Device Management (MDM) Windows & MacOS Microsoft 365 Products Scripting Skills Benefit from: Attractive remuneration package plus performance related reward Private health insurance Corporate pension fund Intellectually stimulating work environment Continuous personal development and international training opportunities The Hiring Experience: What Awaits You Let’s Connect – Intro Chat with Talent Acquisition Deep Dive – First Interview with Your Future Team Final Connection – Final Interview All applications will be treated with strict confidentiality!   By submitting this application, I confirm that I have read and agree to the terms of the Privacy and Data Protection Notice and the Confidentiality Undertaking.

Location: China Our Client Our client is a Singapore-based multinational food and beverage company specializing in the production and distribution of instant beverages, particularly coffee mixes and non-dairy creamers. With a strong presence across Asia, Eastern Europe, and other emerging markets, the company focuses on delivering affordable, mass-market products while continuously optimizing cost efficiency and product formulations. Its operations are supported by manufacturing facilities, including in Malaysia, and it actively competes with Chinese producers by exploring innovations in ingredients and production processes to maintain competitiveness in pricing and quality. Key Responsibilities Conduct a comprehensive analysis of existing non-dairy creamer product formulations, focusing on cost structure, ingredient composition, and performance. Identify opportunities to optimize formulation and reduce production costs while maintaining or improving product quality. Provide insights into China-based manufacturing practices, including cost advantages, sourcing strategies, and formulation techniques. Recommend alternative ingredients, suppliers, or processes to improve cost competitiveness against Chinese producers. Work closely with internal teams (R&D, production, and business) to implement improvements and validate results. Deliver clear, actionable reports and recommendations to senior stakeholders, including business leadership. Support ongoing product development or reformulation initiatives as needed during the engagement period. Participate in periodic on-site visits to the Malaysia facility to collaborate with local teams. Location & Travel Candidate can be based anywhere in China (to work remotely), with periodical travel to Malaysia (expenses covered). Requirements Minimum 10+ years of experience in food R&D or product development, specifically in non-dairy creamer or related powdered beverage products. Proven experience working within manufacturing environments in China, with strong understanding of local cost structures and competitive practices. Deep technical knowledge of formulation, ingredients, and processing for non-dairy creamer products. Demonstrated track record of cost optimization or formulation improvement projects. Ability to work in a consultative, advisory capacity and translate technical insights into business impact. Comfortable working on a contract/freelance basis with flexible engagement structure (e.g., monthly advisory or project-based). Willingness to travel to Malaysia periodically (expenses covered). Strong analytical and problem-solving skills, with the ability to work independently. English proficiency preferred but not a must.

Location: South Africa About Huzzle At Huzzle, we connect exceptional talents with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and EdTech. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. Role Type: Full-time Engagement: Independent Contractor Job Summary We are seeking a highly skilled and performance-driven Senior Meta Ads Specialist (Media Buyer) to manage, optimize, and scale paid advertising campaigns across Facebook and Instagram. The ideal candidate has extensive experience driving customer acquisition, lead generation, and revenue growth through strategic media buying and data-driven campaign optimization. In this role, you will be responsible for managing high-performing Meta ad campaigns, analyzing performance metrics, testing creatives and audiences, and continuously improving return on ad spend (ROAS). You will collaborate closely with creative, marketing, and leadership teams to execute growth-focused advertising strategies for international brands. Key Responsibilities Plan, launch, and manage high-budget Meta advertising campaigns across Facebook and Instagram. Develop and execute full-funnel paid social strategies focused on lead generation, eCommerce sales, or customer acquisition. Conduct audience research, targeting optimization, and A/B testing to improve campaign performance. Monitor campaign KPIs including ROAS, CPA, CTR, CPC, and conversion rates. Analyze performance data and provide actionable recommendations for scaling campaigns. Collaborate with creative teams to develop high-converting ad creatives and copy. Implement retargeting and remarketing strategies to improve conversion performance. Manage advertising budgets efficiently while maximizing ROI. Stay updated with Meta Ads platform changes, trends, and best practices. Generate weekly and monthly performance reports with insights and optimization recommendations. Troubleshoot account issues, tracking discrepancies, and ad performance fluctuations. Requirements 4+ years of experience managing Meta Ads campaigns at a high level. Proven track record of scaling campaigns with strong ROAS performance. Strong understanding of Facebook Ads Manager, Meta Pixel, Conversion API, and attribution models. Experience handling monthly ad budgets ranging from $10,000 to $100,000+. Deep knowledge of audience segmentation, retargeting, and conversion optimization. Strong analytical skills with the ability to interpret campaign data and make strategic decisions. Experience using tools such as Google Analytics, Looker Studio, Hyros, Triple Whale, or similar analytics platforms. Excellent communication and collaboration skills. Experience working with eCommerce, SaaS, lead generation, or direct-response brands is highly preferred. Ability to work independently in a fast-paced remote environment. Benefits 💻 Fully Remote: Work from anywhere with international teams 🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

Location: Colombia; Mexico; Chile; Brazil; Argentina; Honduras About Huzzle At Huzzle, we connect exceptional talents with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and EdTech. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. Role Type: Full-time Engagement: Independent Contractor Job Summary We are seeking an experienced Senior Media Buyer with a strong background in the pharmaceutical and healthcare industries to lead paid media strategy, campaign execution, and performance optimization across multiple digital advertising channels. The ideal candidate has deep expertise in managing compliant healthcare advertising campaigns, scaling paid acquisition efforts, and driving measurable ROI while navigating industry regulations. This role is ideal for a highly analytical and results-driven media buying professional with hands-on experience across Meta Ads, Google Ads, LinkedIn Ads, programmatic platforms, and healthcare-focused advertising strategies. Key Responsibilities Plan, launch, and optimize paid media campaigns across Meta, Google, LinkedIn, and programmatic platforms. Manage healthcare and pharmaceutical advertising campaigns while ensuring compliance with industry regulations and platform policies. Develop audience targeting and acquisition strategies for patients, healthcare professionals, and healthcare organizations. Monitor campaign performance, analyze KPIs, and optimize for ROAS, lead generation, and conversion growth. Conduct A/B testing across creatives, messaging, audiences, and landing pages. Manage advertising budgets and scale campaigns based on performance insights. Collaborate with creative and marketing teams to develop high-performing healthcare-focused campaigns. Prepare performance reports and provide strategic recommendations to stakeholders. Requirements 4+ years of experience in media buying and paid advertising. Proven experience within the pharmaceutical, healthcare, medical, or wellness industries. Strong expertise in Meta Ads, Google Ads, LinkedIn Ads, and programmatic advertising platforms. Experience managing compliant healthcare and pharmaceutical marketing campaigns. Strong understanding of conversion tracking, attribution, retargeting, and campaign optimization. Proficiency with analytics and reporting tools such as Google Analytics and Looker Studio. Experience managing advertising budgets and optimizing for ROI. Strong analytical, communication, and project management skills. Experience working with remote or cross-functional teams is preferred. Benefits 💻 Fully Remote: Work from anywhere with international teams 🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

Location: United Kingdom About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups and established businesses in SaaS, MarTech, FinTech, and EdTech. Unlike traditional outsourcing, you’ll be placed directly with a client as a core member of their team—giving you real ownership, career progression, and long-term stability. Role Type: Full-time Engagement: Independent Contractor Job Summary We are hiring a Sales Development Representative (SDR) for a remote sales job focused on outbound prospecting, lead generation, and appointment setting. This role is ideal for candidates looking to build or grow a career in tech sales, with a clear pathway to Account Executive roles. You’ll be responsible for engaging potential customers, qualifying leads, and booking meetings that directly contribute to revenue growth. Key Responsibilities Execute outbound prospecting through cold calls, emails, and LinkedIn outreach Identify and qualify leads based on ideal customer profiles (ICP) Schedule meetings and demos for Account Executives Build and maintain a strong and consistent sales pipeline Track all activities and manage leads in CRM systems (HubSpot, Salesforce, etc.) Personalize outreach to improve engagement and conversion rates Collaborate with marketing and sales teams to refine messaging and targeting Consistently meet and exceed daily, weekly, and monthly KPIs Requirements 3+ years of experience in sales, lead generation, or customer-facing roles Experience as an SDR, BDR, or similar outbound sales role is preferred Strong written and verbal communication skills Confidence in cold calling and handling objections Familiarity with CRM tools like HubSpot or Salesforce Highly motivated, resilient, and target-driven mindset Ability to work independently in a remote environment Experience in SaaS, tech, or digital services is a plus Benefits 🌎 Fully remote role with flexible working hours 🚀 Work with high-growth international companies 📈 Clear career progression to Account Executive and beyond 🎯 Performance-based bonuses and incentives 🤝 Direct hire with global clients (not outsourced) 🧠 Ongoing training, mentorship, and sales development support

Location: Norway; Finland; Sweden; Denmark About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups and established businesses in SaaS, MarTech, FinTech, and EdTech. Unlike traditional outsourcing, you’ll be placed directly with a client as a core member of their team—giving you real ownership, career progression, and long-term stability. Role Type: Full-time Engagement: Independent Contractor English bilingual role, at least one of the following languages are required: Swedish / Norwegian / Danish / Finnish / Icelandic About the Company Our client is a well-established global B2B company operating within the renewable energy and sustainability sector. They provide a wide range of products and services to enterprise clients across international markets and have built a mature sales environment with strong internal processes, structured onboarding, and long-term growth opportunities. This role is ideal for a highly organised and client-focused Sales Development Representative who has experience supporting sales initiatives, managing client relationships, and driving commercial conversations within fast-paced environments. Job Summary We are seeking an experienced Sales Development Representative (SDR) with exposure to the renewable energy industry to support outbound sales efforts, account management activities, and customer engagement initiatives across international markets. The ideal candidate is highly organised, thrives in structured sales environments, and has experience balancing sales development, customer service, and client management responsibilities. Fluency in at least one Nordic language is essential for this role. Key Responsibilities Manage outbound sales outreach and prospect engagement activities. Build and maintain strong client relationships through proactive communication and account management. Support lead generation and sales pipeline activities using structured sales processes. Coordinate client follow-ups, meetings, and sales administration tasks. Deliver exceptional customer service throughout the client lifecycle. Maintain accurate CRM records and sales activity tracking using Salesforce and Salesloft. Collaborate closely with internal sales and customer success teams to ensure seamless client experiences. Handle multiple priorities and client accounts in a fast-paced global sales environment. Support business growth initiatives within the renewable energy sector. Requirements 2 - 3+ years experience as a Sales Development Representative, or similar sales/client-facing role. Exposure to the renewable energy, sustainability, clean tech, or energy sector. Fluency in at least one Nordic language (Swedish, Norwegian, Danish, Finnish, or Icelandic) is required. Strong client management and customer service skills. Experience with outbound sales, lead generation, and account management. Proficiency using Salesforce, Salesloft, or similar CRM and sales engagement platforms. Excellent organisational and multitasking abilities. Strong communication and relationship-building skills. Ability to work independently in a remote, structured environment. Comfortable managing multiple stakeholders and priorities simultaneously. Benefits 🌎 Fully remote role with flexible working hours 🚀 Work with high-growth international companies 📈 Clear career progression to Account Executive and beyond 🎯 Performance-based bonuses and incentives 🤝 Direct hire with global clients (not outsourced) 🧠 Ongoing training, mentorship, and sales development support

Location: Dhahran, Saudi Arabia Eram Talent is looking for an experienced Contracts Advisor with PMT (Project Management Team) experience to join our team in Saudi Arabia. As a vital part of the ERAM Group's recruitment division, you will provide expert contract management support for capital projects, ensuring compliance and efficient contract execution within the energy and infrastructure sectors. Responsibilities Draft, review, and negotiate contracts related to capital projects within the PMT framework Ensure adherence to contractual obligations, regulatory requirements, and company policies Collaborate closely with project managers, legal, finance, and procurement teams to manage contract lifecycle Identify, evaluate, and mitigate contractual risks Manage contract amendments, claims, and dispute resolution processes Monitor contract performance to ensure compliance and timely delivery Maintain accurate documentation and contract records throughout project phases Requirements Bachelor’s degree in Business Administration, Law, Engineering, Finance, Supply Chain Management, or a related field. 12+ Years of experience as a Contracts Specialist in Oil & Gas projects with strong Project Management Exposure. In-depth understanding of contract lifecycle management, from initiation and scope definition to execution and close-out. Familiarity with different contract types, including lump-sum, unit-price, and time-and-materials agreements. Knowledge of corporate governance frameworks and internal procurement procedures. Ability to prepare, review, and coordinate contract documentation through internal approval and execution workflows. Experience in contract administration, including performance monitoring, compliance tracking, and change control management. Proficiency in generating detailed reports, charts, summaries, and presentations to support budgeting, forecasting, and decision-making processes. Ability to work effectively in multidisciplinary teams and dynamic project environments Proficiency in contract management systems and project management tools

Location: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! We’re looking for a strategic, entrepreneurial Product Manager to help shape product-led growth for our newest AI products. Figma has an ambitious, forward-looking roadmap that we’re rapidly executing on as product development and design rapidly change with AI. This role will help drive the company’s strategy for growth of these products and ensure users discover value in Figma as their workflows rapidly evolve. What you’ll do at Figma: Partner closely with other product teams to develop and execute on a strategy for driving adoption of Figma’s newest and biggest bets. Use data and insights to build a portfolio of experiments and new features that drive users to discover the transformative impact of Figma’s AI features and products Shape Figma’s growth strategy as our business and product evolve. Lead a fast-executing, impact-driven team. Collaborate deeply with Design, Engineering, and Product Leadership on both strategy and execution. We’d love to hear from you if you have: 7+ years of product management experience Familiarity with current AI-powered product development and a POV on how our industry will evolve Experience leading major product or growth initiatives across user-facing products Track record of delivering impact through data-driven experimentation and strategic bets A knack for data and metrics, and strength in translating insights into strategy Are a strong cross-functional collaborator, both within the product development organization and with marketing / business functions Have deep user empathy and are able to understand complex product spaces At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $169,000 — $303,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: United States Workplace: Remote As a Strategic Account Executive for Financial Services, you will own a focused book of named financial services accounts — including banks, asset managers, exchanges, insurance carriers, and fintech platforms. You will be responsible for the full sales cycle: from identifying new use cases and building executive relationships to negotiating and closing complex, multi-stakeholder deals. This is a high-impact individual contributor role for someone who thrives in a technical sales environment and wants to be a foundational part of building ClickHouse’s strategic sales motion in one of the most demanding verticals in the world. What You’ll Do - Own a named account list of strategic financial services organizations and develop deep, multi-threaded relationships across technical, business, and executive stakeholders - Drive net new ARR and expansion revenue through a consultative, value-based sales approach - Lead complex enterprise sales cycles, including procurement, legal, security review, and multi-product negotiations - Partner closely with Solutions Architects to ensure technical alignment and long-term customer success - Understand and articulate ClickHouse’s technical differentiation — including performance benchmarks, architecture, and deployment models — at a level of depth that earns credibility with data engineers, architects, and CTOs - Develop and execute strategic account plans, identifying expansion opportunities and mapping the political landscape within each account - Represent the voice of the customer internally, shaping product roadmap priorities and go-to-market strategy for the financial services vertical - Travel to customer sites, conferences, and team offsites as needed (approximately 25–40%) What We’re Looking For - 7+ years of enterprise sales experience, with at least 3 years selling to financial services organizations (banking, capital markets, insurance, fintech, or asset management) - Demonstrated track record closing large, complex deals ($500K+ ACV) with long sales cycles involving multiple stakeholders - Experience selling technical infrastructure products — databases, data platforms, cloud infrastructure, developer tools, or similar — is required; you must be able to engage credibly in technical conversations - Deep understanding of the financial services technology landscape, including data architecture patterns common in FS environments (real-time risk, fraud, trading analytics, regulatory reporting) - Strong executive presence with the ability to build trusted advisor relationships at the C-suite and VP level - Experience working in a high-growth, early-stage or scaling startup environment is strongly preferred - Familiarity with MEDDIC, MEDDPICC, or similar enterprise sales methodologies - Ability to work independently and navigate ambiguity in a fast-moving environment Nice to Have - Prior experience selling open-source or consumption-based products - Experience with real-time analytics, time-series databases, OLAP, or columnar data systems - Existing relationships with data/technology buyers at major financial institutions PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Colombia; Brazil; Argentina Workplace: Remote Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes. Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively. What you will do - Deliver end-to-end data science projects using classical machine learning (e.g., regression, classification, time series forecasting) and deep learning approaches — from data exploration and modeling to deployment and performance tracking. - Collaborate closely with business stakeholders to identify opportunities and translate them into measurable data-driven solutions. - Present complex analytical findings in a clear, actionable way to both technical and non-technical audiences. - Contribute to analytical planning and ensure alignment with overall business objectives. - Support presales activities by preparing data/ML solution concepts, participating in client meetings, and estimating project scope and potential value. - Help shape the Data Science practice by contributing to its strategic development and supporting recruitment initiatives. What you bring - Proven experience as a Data Scientist delivering end-to-end projects — from exploratory data analysis to model deployment, performance evaluation, and experimentation (e.g., A/B testing). - Strong expertise in working with tabular and time-series data, including EDA, feature engineering, predictive modeling, and model evaluation. - Proficiency in Python and common data-science libraries (e.g., pandas, scikit-learn, TensorFlow/PyTorch). - Experience leading or mentoring analytics teams and coordinating with business stakeholders. - Excellent communication skills, able to translate between technical and business perspectives effectively. - Solid understanding of business processes and data structures. - Confidence in client-facing settings: gathering requirements, shaping analytical roadmaps, and delivering measurable business value. - Fluency in English for meetings with international clients. Nice to have - Hands-on experience with deep learning, computer vision, or generative AI projects. - Familiarity with cloud platforms (AWS, GCP, or Azure) and MLOps tools. - Experience with data visualization or BI tools for communicating insights. When you join Solvd, you'll… - Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation. - Be part of a global team with equal opportunities for collaboration across continents and cultures. - Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards. Ready to make an impact? If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together. Solvd is an equal opportunity employer.

Location: Athens; Limassol; Nicosia; Thessaloniki; Fully Remote - in other eligible locations Workplace: hybrid The Role:  As part of the QA team, you will work in cross-functional, innovative, agile tech teams to ensure quality is consistent throughout the development process. You will be involved in front-end, back-end, and E2E testing, and you will be offered fantastic opportunities to learn and develop. The main responsibilities of the position include: Understand and clarify business requirements, features, and technical implementation Enhance software delivery and quality throughout the entire software development cycle Ensure that software meets functional and non-functional requirements Stay up to date on the latest testing trends and technologies related to DB and API Report testing status to project teams and Head of the QA department Track issues and drive resolutions throughout the testing process Manage in-house testing documentation, write and continuously review test strategy Validate crypto trading flows including order placement, execution, and settlement Participate in testing high-availability and high-throughput systems handling real-time trading data Main requirements: BSc/MSc in Computer science 3+ years of experience in manual testing of software products 1+ year of QA experience working specifically with crypto, blockchain, Web3, DeFi, or digital asset platforms Practical experience validating blockchain-related workflows such as wallets, transactions, asset transfers, or network interactions Experience testing trading, exchange, fintech, or payment platforms with complex transactional flows Practical experience in GUI and API testing is a must Knowledge of SQL and database concepts Strong knowledge and experience in software testing concepts and methodologies Strong interpersonal and organisational skills Committed to excellence, continuous improvement, and to achieving the best results Methodical, analytical, and meticulous Very good written and verbal skills in English The following will be considered an advantage: Experience in mobile testing (iOS/Android) Experience in any scripting language Experience in automated testing Familiarity with different API protocols and technologies Solid understanding of KYC/AML flows in crypto platforms Certified with a testing-related certification such as ISTQB Benefit from: Attractive remuneration package Intellectually stimulating work environment Continuous personal development and international training opportunities The Hiring Experience: What Awaits you Let’s Connect – Intro Chat with Talent Acquisition Deep Dive – First Interview with Your Future Team Final Connection – Final Interview All applications will be treated with strict confidentiality!   By submitting this application, I confirm that I have read and agree to the terms of the Privacy and Data Protection Notice and the Confidentiality Undertaking.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We run one of the industry's largest AI compute fleets, spanning multiple cloud providers and datacenters, to train, research, and serve frontier AI models. Those fleets run on Kubernetes, and the Kubernetes Platform team owns the control plane that makes them work. We are operating at a scale where the defaults stop working. We own the scheduler and extend it to place topology-sensitive ML workloads across thousands of accelerators at once. We scale the control plane itself — apiserver, etcd, controllers — so it stays responsive as object counts and node counts grow by orders of magnitude. And we build the core cluster services every workload depends on, like service discovery, so they hold up under the same pressure. We make sure the control plane is fast, correct, and always available. Your work will directly determine whether Anthropic can keep reliably and safely training frontier models as our compute footprint continues to grow. Key responsibilities Own, operate, and extend the Kubernetes scheduler for Anthropic's accelerator fleets, including custom scheduling plugins and policies for gang scheduling, topology awareness, and preemption Scale the Kubernetes control plane (apiserver, etcd, controller-manager) to support clusters far beyond typical limits, and find the next bottleneck before it finds us Design, build, and operate core cluster services such as service discovery that every workload in the fleet depends on Build and maintain custom controllers, operators, and CRDs Partner with research, training, and inference to understand workload shapes and turn their requirements into platform capabilities Collaborate with cloud providers on required features and escalations Participate in on-call, lead incident response, and design processes (postmortems, runbooks, SLOs) that help the team avoid repeating failures Minimum qualifications Significant software engineering experience building and operating production distributed systems Proficiency in at least one systems-appropriate language (e.g., Go, Python, Rust, or C++) Deep, hands-on Kubernetes experience (well beyond "user of”) into scheduler, controllers, apiserver, or operating large multi-tenant clusters Demonstrated ability to debug complex issues across the stack, from API behavior down to node and network-level root causes A track record of designing for reliability, correctness, and clear failure semantics in systems other engineers depend on Strong written and verbal communication; comfort building consensus with internal stakeholders Preferred qualifications Experience with Kubernetes internals or contributions: kube-scheduler / scheduling framework, apiserver, etcd, client-go, controller-runtime, or similar Experience building or operating cluster schedulers or batch systems (e.g., Kueue, Volcano, Slurm, or in-house equivalents) Background scaling control planes or coordination systems (etcd, ZooKeeper, Consul, or large DNS/service-mesh deployments) Familiarity with ML infrastructure: GPUs, TPUs, or Trainium; gang scheduling; topology-aware placement; collective networking such as NCCL Experience with GCP and/or AWS, including GKE/EKS internals and Infrastructure as Code Low-level systems experience such as Linux kernel tuning, cgroups, or eBPF 10+ years of relevant industry experience, including time leading large, ambiguous infrastructure projects The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: AU: Sydney (45 Clarence St) Workplace: Hybrid The role / impact As a Senior Engineer within the Internal AI Accelerator Squad, you will be at the forefront of Xero’s transformation into an AI-native company. You will act as a forward-deployed engineer, embedding yourself within various internal business teams to co-design and operationalise agentic AI workflows that remove manual toil and fundamentally reshape how our people work end-to-end. Your impact extends beyond the code; you will lead the delivery of high-stakes AI agents from discovery to production, while acting as a technical partner and evangelist. By defining the patterns, guardrails, and tooling for intelligent automation, you will create the blueprint that enables the rest of Xero to harness the power of AI safely and effectively. The team / how they connect You will join a dedicated, high-velocity squad focused on boosting the adoption of agentic AI and intelligent automation across the global business. The team connects through a shared mission of rapid experimentation and "vibe-coding," working closely with product owners and SMEs to turn complex, messy workflows into elegant, automated solutions. The team is currently working on / Initially, you will focus on - Designing and iterating on AI agents and workflow orchestrations using tools like Claude, Gemini, and MCP. - Integrating AI systems with core enterprise platforms including Salesforce, Workday, Slack, and NetSuite. - Developing reusable automation patterns and shared templates to be used by the business - Building evaluation and monitoring frameworks to measure performance and ensure the safety of AI-native workflows. Where and how you can work At Xero, we embrace a hybrid way of working that prioritises both flexibility and meaningful connection. You will have the autonomy to work from home, supported by regular boost days in our modern office spaces designed to foster collaboration, brainstorming, and team bonding. Here are some of the things we are looking for - You bring a wealth of experience in building and operating applications or automations within production environments, particularly involving APIs and cloud infrastructure. - Your background includes hands-on delivery of AI-driven solutions such as agents, copilots, or RAG systems using LLMs like Claude or Gemini. - You possess proficiency in programming languages such as Python or TypeScript and feel comfortable navigating SDKs and webhooks. - A systems-thinking approach is part of your toolkit, allowing you to design agents with security, auditability, and controlled blast radius at the forefront. - You have a track record of partnering with non-technical stakeholders to translate business pain points into technical solution designs. - You are a natural coach who enjoys uplifting the AI fluency of those around you through pairing, workshops, and clear communication. Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.

Location: Washington DC Workplace: Remote ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE TEAM The LangChain Federal team works directly with U.S. Government customers — including the Department of Defense (DoD), Civilian Agencies, and the Intelligence Community (IC) — who are building and operating AI agents in mission-critical environments. We partner closely with government program managers, technical leads, and system integrators across the full lifecycle, from pre-award shaping and evaluations through post-deployment expansion. We are building the federal go-to-market motion from the ground up, and every team member has a direct hand in shaping how LangChain is adopted across the federal landscape. ABOUT THE ROLE We're looking for a Federal Enterprise Account Executive to join our growing GTM team and lead LangChain's expansion into U.S. federal agencies. In this role, you'll own the full sales cycle — helping technical teams at DoD, Civilian, and IC agencies discover, evaluate, and adopt LangChain's products. This is a high-impact, high-visibility role where you'll collaborate closely with engineering, product, solutions engineering, and professional services to shape how AI agent infrastructure gets adopted across government. If you're a relationship-driven seller who understands the federal landscape and wants to be part of building a go-to-market motion from the ground up, we'd love to hear from you. WHAT YOU'LL DO - Own and manage the full federal sales cycle, from lead stage to close with a strong bias for follow-up and follow-through - Act as a trusted advisor to federal prospects and customers — including DoD, Civilian Agencies, and IC — learning their mission requirements and demonstrating how LangChain's products solve real problems - Drive proof-of-concept efforts, working with solutions engineers and product experts to demonstrate tangible value in government environments - Navigate federal procurement mechanisms — GWACs, IDIQs, OTAs, BPAs, and direct agency contracts — to close complex, multi-stakeholder deals with speed and precision - Build and maintain trusted relationships with senior agency decision-makers, program managers, and contracting officers, as well as system integrator partners (e.g., Booz Allen, SAIC, Leidos) and resellers (e.g., Carahsoft) who help drive and support deal flow - Stay on top of the federal AI landscape — agency priorities, executive orders, budget cycles, and competitor activity — to educate customers and shape LangChain's federal strategy - Build long-term customer relationships and support post-sale success in partnership with our Deployed Engineering and support teams - Negotiate pricing and deal terms and work with legal to redline contracts - Bring federal customer insights back to product and engineering teams to inform the roadmap and improve the user experience - Help define and iterate on our federal sales playbook — your input will help shape how we go to market in this segment WHAT YOU'LL BRING - You have 7+ years of experience selling complex software to enterprise or federal customers, with at least 3+ years focused on U.S. federal accounts (DoD, Civilian, and/or IC) - You have a proven track record of meeting or exceeding federal revenue targets — ideally $2M+ ARR annually - You have deep familiarity with federal procurement: GWACs, IDIQs, OTAs, BPAs, and direct agency contract vehicles - You can translate complex technical concepts — LLMs, RAG, agent frameworks, APIs — into mission-aligned value for both technical and non-technical government buyers - You have established relationships across federal agencies and the system integrator ecosystem - Technical acumen with the ability to establish credibility with technical decision-makers at agencies - You thrive in fast-paced start-up environments and are energized by impact — you want to help build the federal playbook, not just follow one - Driven and solutions-oriented; you know how to navigate procurement roadblocks and keep complex deals moving forward - Passionate about generative AI and excited to help federal customers navigate a rapidly evolving technology landscape - You exemplify our operating principles: - You are motivated to build something great: you hold a high bar for quality, craft, and impact in every customer interaction and internal deliverable - You embrace hot takes: you bring informed opinions about the federal AI market, challenge assumptions, and engage in constructive debate with your team - You operate with maximum agency: you take ownership of your territory, move deals forward independently, and help cross-functional partners stay unblocked - You run to the roar: you lean into the complexity of government procurement, long deal cycles, and ambiguous buying processes — and find a way through NICE TO HAVE - Active or prior U.S. security clearance (Secret, TS/SCI) - Familiarity with LangChain, LangGraph, LangSmith, or similar AI orchestration and observability tools - Experience with FedRAMP, DoD Impact Levels (IL2–IL6), or other federal compliance and authorization frameworks - Existing relationships with federal-focused system integrators and resellers (e.g., Booz Allen, SAIC, Leidos, Carahsoft) - Prior experience building a federal GTM motion at an early-stage or growth-stage company COMPENSATION Annual OTE range: $300,000 – $350,000 USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.